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    "# 风格迁移\n",
    "\n",
    "如果你是一位摄影爱好者，你也许接触过滤波器。它能改变照片的颜色风格，从而使风景照更加锐利或者令人像更加美白。但一个滤波器通常只能改变照片的某个方面。如果要照片达到理想中的风格，你可能需要尝试大量不同的组合。这个过程的复杂程度不亚于模型调参。\n",
    "\n",
    "在本节中，我们将介绍如何使用卷积神经网络，自动将一个图像中的风格应用在另一图像之上，即*风格迁移*（style transfer） :cite:`Gatys.Ecker.Bethge.2016`。\n",
    "这里我们需要两张输入图像：一张是*内容图像*，另一张是*风格图像*。\n",
    "我们将使用神经网络修改内容图像，使其在风格上接近风格图像。\n",
    "例如， :numref:`fig_style_transfer`中的内容图像为本书作者在西雅图郊区的雷尼尔山国家公园拍摄的风景照，而风格图像则是一幅主题为秋天橡树的油画。\n",
    "最终输出的合成图像应用了风格图像的油画笔触让整体颜色更加鲜艳，同时保留了内容图像中物体主体的形状。\n",
    "\n",
    "![输入内容图像和风格图像，输出风格迁移后的合成图像](../img/style-transfer.svg)\n",
    ":label:`fig_style_transfer`\n",
    "\n",
    "## 方法\n",
    "\n",
    " :numref:`fig_style_transfer_model`用简单的例子阐述了基于卷积神经网络的风格迁移方法。\n",
    "首先，我们初始化合成图像，例如将其初始化为内容图像。\n",
    "该合成图像是风格迁移过程中唯一需要更新的变量，即风格迁移所需迭代的模型参数。\n",
    "然后，我们选择一个预训练的卷积神经网络来抽取图像的特征，其中的模型参数在训练中无须更新。\n",
    "这个深度卷积神经网络凭借多个层逐级抽取图像的特征，我们可以选择其中某些层的输出作为内容特征或风格特征。\n",
    "以 :numref:`fig_style_transfer_model`为例，这里选取的预训练的神经网络含有3个卷积层，其中第二层输出内容特征，第一层和第三层输出风格特征。\n",
    "\n",
    "![基于卷积神经网络的风格迁移。实线箭头和虚线箭头分别表示前向传播和反向传播](../img/neural-style.svg)\n",
    ":label:`fig_style_transfer_model`\n",
    "\n",
    "接下来，我们通过前向传播（实线箭头方向）计算风格迁移的损失函数，并通过反向传播（虚线箭头方向）迭代模型参数，即不断更新合成图像。\n",
    "风格迁移常用的损失函数由3部分组成：\n",
    "（i）*内容损失*使合成图像与内容图像在内容特征上接近；\n",
    "（ii）*风格损失*使合成图像与风格图像在风格特征上接近；\n",
    "（iii）*全变分损失*则有助于减少合成图像中的噪点。\n",
    "最后，当模型训练结束时，我们输出风格迁移的模型参数，即得到最终的合成图像。\n",
    "\n",
    "在下面，我们将通过代码来进一步了解风格迁移的技术细节。\n",
    "\n",
    "## [**阅读内容和风格图像**]\n",
    "\n",
    "首先，我们读取内容和风格图像。\n",
    "从打印出的图像坐标轴可以看出，它们的尺寸并不一样。\n"
   ]
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\" 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   "source": [
    "%matplotlib inline\n",
    "import torch\n",
    "import torchvision\n",
    "from torch import nn\n",
    "from d2l import torch as d2l\n",
    "\n",
    "d2l.set_figsize()\n",
    "content_img = d2l.Image.open('../img/rainier.jpg')\n",
    "d2l.plt.imshow(content_img);"
   ]
  },
  {
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   "execution_count": 2,
   "metadata": {
    "origin_pos": 4,
    "tab": [
     "pytorch"
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   "outputs": [
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   ],
   "source": [
    "style_img = d2l.Image.open('../img/autumn-oak.jpg')\n",
    "d2l.plt.imshow(style_img);"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "origin_pos": 5
   },
   "source": [
    "## [**预处理和后处理**]\n",
    "\n",
    "下面，定义图像的预处理函数和后处理函数。\n",
    "预处理函数`preprocess`对输入图像在RGB三个通道分别做标准化，并将结果变换成卷积神经网络接受的输入格式。\n",
    "后处理函数`postprocess`则将输出图像中的像素值还原回标准化之前的值。\n",
    "由于图像打印函数要求每个像素的浮点数值在0到1之间，我们对小于0和大于1的值分别取0和1。\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "origin_pos": 7,
    "tab": [
     "pytorch"
    ]
   },
   "outputs": [],
   "source": [
    "#VGG网络对数据进行了归一化，使用同样的参数对输入归一化使之更好的适配VGG网络\n",
    "rgb_mean = torch.tensor([0.485, 0.456, 0.406])\n",
    "rgb_std = torch.tensor([0.229, 0.224, 0.225])\n",
    "\n",
    "def preprocess(img, image_shape):\n",
    "    transforms = torchvision.transforms.Compose([\n",
    "        torchvision.transforms.Resize(image_shape),#变换大小\n",
    "        torchvision.transforms.ToTensor(),#转为Tensor\n",
    "        torchvision.transforms.Normalize(mean=rgb_mean, std=rgb_std)])#归一化\n",
    "    return transforms(img).unsqueeze(0)#加上batch_size维度\n",
    "\n",
    "def postprocess(img):\n",
    "    img = img[0].to(rgb_std.device)\n",
    "    img = torch.clamp(img.permute(1, 2, 0) * rgb_std + rgb_mean, 0, 1)#改变顺序为[h,w,3]，使其与rgb_std后缘维度相同，利用广播机制\n",
    "    return torchvision.transforms.ToPILImage()(img.permute(2, 0, 1))#将顺序变回[3,h,w]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "origin_pos": 8
   },
   "source": [
    "## [**抽取图像特征**]\n",
    "\n",
    "我们使用基于ImageNet数据集预训练的VGG-19模型来抽取图像特征 :cite:`Gatys.Ecker.Bethge.2016`。\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "origin_pos": 10,
    "tab": [
     "pytorch"
    ]
   },
   "outputs": [],
   "source": [
    "pretrained_net = torchvision.models.vgg19(pretrained=True)"
   ]
  },
  {
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   "metadata": {
    "origin_pos": 11
   },
   "source": [
    "为了抽取图像的内容特征和风格特征，我们可以选择VGG网络中某些层的输出。\n",
    "一般来说，越靠近输入层，越容易抽取图像的细节信息；反之，则越容易抽取图像的全局信息。\n",
    "为了避免合成图像过多保留内容图像的细节，我们选择VGG较靠近输出的层，即*内容层*，来输出图像的内容特征。\n",
    "我们还从VGG中选择不同层的输出来匹配局部和全局的风格，这些图层也称为*风格层*。\n",
    "正如 :numref:`sec_vgg`中所介绍的，VGG网络使用了5个卷积块。\n",
    "实验中，我们选择第四卷积块的最后一个卷积层作为内容层，选择每个卷积块的第一个卷积层作为风格层。\n",
    "这些层的索引可以通过打印`pretrained_net`实例获取。\n"
   ]
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  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "origin_pos": 12,
    "tab": [
     "pytorch"
    ]
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   "outputs": [],
   "source": [
    "style_layers, content_layers = [0, 5, 10, 19, 28], [25]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "origin_pos": 13
   },
   "source": [
    "使用VGG层抽取特征时，我们只需要用到从输入层到最靠近输出层的内容层或风格层之间的所有层。\n",
    "下面构建一个新的网络`net`，它只保留需要用到的VGG的所有层。\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "origin_pos": 15,
    "tab": [
     "pytorch"
    ]
   },
   "outputs": [],
   "source": [
    "net = nn.Sequential(*[pretrained_net.features[i] for i in\n",
    "                      range(max(content_layers + style_layers) + 1)])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "origin_pos": 16
   },
   "source": [
    "给定输入`X`，如果我们简单地调用前向传播`net(X)`，只能获得最后一层的输出。\n",
    "由于我们还需要中间层的输出，因此这里我们逐层计算，并保留内容层和风格层的输出。\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "origin_pos": 17,
    "tab": [
     "pytorch"
    ]
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   "outputs": [],
   "source": [
    "def extract_features(X, content_layers, style_layers):\n",
    "    contents = []\n",
    "    styles = []\n",
    "    for i in range(len(net)):\n",
    "        X = net[i](X)\n",
    "        if i in style_layers:\n",
    "            styles.append(X)\n",
    "        if i in content_layers:\n",
    "            contents.append(X)\n",
    "    return contents, styles"
   ]
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   "metadata": {
    "origin_pos": 18
   },
   "source": [
    "下面定义两个函数：`get_contents`函数对内容图像抽取内容特征；\n",
    "`get_styles`函数对风格图像抽取风格特征。\n",
    "因为在训练时无须改变预训练的VGG的模型参数，所以我们可以在训练开始之前就提取出内容特征和风格特征。\n",
    "由于合成图像是风格迁移所需迭代的模型参数，我们只能在训练过程中通过调用`extract_features`函数来抽取合成图像的内容特征和风格特征。\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "origin_pos": 20,
    "tab": [
     "pytorch"
    ]
   },
   "outputs": [],
   "source": [
    "def get_contents(image_shape, device):\n",
    "    content_X = preprocess(content_img, image_shape).to(device)\n",
    "    contents_Y, _ = extract_features(content_X, content_layers, style_layers)\n",
    "    return content_X, contents_Y\n",
    "\n",
    "def get_styles(image_shape, device):\n",
    "    style_X = preprocess(style_img, image_shape).to(device)\n",
    "    _, styles_Y = extract_features(style_X, content_layers, style_layers)\n",
    "    return style_X, styles_Y"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "origin_pos": 21
   },
   "source": [
    "## [**定义损失函数**]\n",
    "\n",
    "下面我们来描述风格迁移的损失函数。\n",
    "它由内容损失、风格损失和全变分损失3部分组成。\n",
    "\n",
    "### 内容损失\n",
    "\n",
    "与线性回归中的损失函数类似，内容损失通过平方误差函数衡量合成图像与内容图像在内容特征上的差异。\n",
    "平方误差函数的两个输入均为`extract_features`函数计算所得到的内容层的输出。\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "origin_pos": 23,
    "tab": [
     "pytorch"
    ]
   },
   "outputs": [],
   "source": [
    "def content_loss(Y_hat, Y):\n",
    "    # 我们从动态计算梯度的树中分离目标：\n",
    "    # 这是一个规定的值，而不是一个变量。\n",
    "    return torch.square(Y_hat - Y.detach()).mean()#计算平方差损失，mean函数求平均值"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "origin_pos": 24
   },
   "source": [
    "### 风格损失\n",
    "\n",
    "风格损失与内容损失类似，也通过平方误差函数衡量合成图像与风格图像在风格上的差异。\n",
    "为了表达风格层输出的风格，我们先通过`extract_features`函数计算风格层的输出。\n",
    "假设该输出的样本数为1，通道数为$c$，高和宽分别为$h$和$w$，我们可以将此输出转换为矩阵$\\mathbf{X}$，其有$c$行和$hw$列。\n",
    "这个矩阵可以被看作是由$c$个长度为$hw$的向量$\\mathbf{x}_1, \\ldots, \\mathbf{x}_c$组合而成的。其中向量$\\mathbf{x}_i$代表了通道$i$上的风格特征。\n",
    "\n",
    "在这些向量的*格拉姆矩阵*$\\mathbf{X}\\mathbf{X}^\\top \\in \\mathbb{R}^{c \\times c}$中，$i$行$j$列的元素$x_{ij}$即向量$\\mathbf{x}_i$和$\\mathbf{x}_j$的内积。它表达了通道$i$和通道$j$上风格特征的相关性。我们用这样的格拉姆矩阵来表达风格层输出的风格。\n",
    "需要注意的是，当$hw$的值较大时，格拉姆矩阵中的元素容易出现较大的值。\n",
    "此外，格拉姆矩阵的高和宽皆为通道数$c$。\n",
    "为了让风格损失不受这些值的大小影响，下面定义的`gram`函数将格拉姆矩阵除以了矩阵中元素的个数，即$chw$。\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "origin_pos": 25,
    "tab": [
     "pytorch"
    ]
   },
   "outputs": [],
   "source": [
    "def gram(X):\n",
    "    num_channels, n = X.shape[1], X.numel() // X.shape[1]#得到通道数和将要除以的比例chw\n",
    "    X = X.reshape((num_channels, n))\n",
    "    return torch.matmul(X, X.T) / (num_channels * n)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "origin_pos": 26
   },
   "source": [
    "自然地，风格损失的平方误差函数的两个格拉姆矩阵输入分别基于合成图像与风格图像的风格层输出。这里假设基于风格图像的格拉姆矩阵`gram_Y`已经预先计算好了。\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "origin_pos": 28,
    "tab": [
     "pytorch"
    ]
   },
   "outputs": [],
   "source": [
    "def style_loss(Y_hat, gram_Y):\n",
    "    return torch.square(gram(Y_hat) - gram_Y.detach()).mean()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "origin_pos": 29
   },
   "source": [
    "### 全变分损失\n",
    "\n",
    "有时候，我们学到的合成图像里面有大量高频噪点，即有特别亮或者特别暗的颗粒像素。\n",
    "一种常见的去噪方法是*全变分去噪*（total variation denoising）：\n",
    "假设$x_{i, j}$表示坐标$(i, j)$处的像素值，降低全变分损失\n",
    "\n",
    "$$\\sum_{i, j} \\left|x_{i, j} - x_{i+1, j}\\right| + \\left|x_{i, j} - x_{i, j+1}\\right|$$\n",
    "\n",
    "能够尽可能使邻近的像素值相似。\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "origin_pos": 30,
    "tab": [
     "pytorch"
    ]
   },
   "outputs": [],
   "source": [
    "def tv_loss(Y_hat):\n",
    "    #边界处无需计算，可以通过切片的方式使相邻下标对应，直接做运算\n",
    "    return 0.5 * (torch.abs(Y_hat[:, :, 1:, :] - Y_hat[:, :, :-1, :]).mean() +\n",
    "                  torch.abs(Y_hat[:, :, :, 1:] - Y_hat[:, :, :, :-1]).mean())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "origin_pos": 31
   },
   "source": [
    "### 损失函数\n",
    "\n",
    "[**风格转移的损失函数是内容损失、风格损失和总变化损失的加权和**]。\n",
    "通过调节这些权重超参数，我们可以权衡合成图像在保留内容、迁移风格以及去噪三方面的相对重要性。\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "origin_pos": 32,
    "tab": [
     "pytorch"
    ]
   },
   "outputs": [],
   "source": [
    "content_weight, style_weight, tv_weight = 1, 1e3, 10\n",
    "\n",
    "def compute_loss(X, contents_Y_hat, styles_Y_hat, contents_Y, styles_Y_gram):\n",
    "    # 分别计算内容损失、风格损失和全变分损失\n",
    "    contents_l = [content_loss(Y_hat, Y) * content_weight for Y_hat, Y in zip(\n",
    "        contents_Y_hat, contents_Y)]\n",
    "    styles_l = [style_loss(Y_hat, Y) * style_weight for Y_hat, Y in zip(\n",
    "        styles_Y_hat, styles_Y_gram)]\n",
    "    tv_l = tv_loss(X) * tv_weight\n",
    "    # 对所有损失求和\n",
    "    l = sum(10 * styles_l + contents_l + [tv_l])\n",
    "    return contents_l, styles_l, tv_l, l"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "origin_pos": 33
   },
   "source": [
    "## [**初始化合成图像**]\n",
    "\n",
    "在风格迁移中，合成的图像是训练期间唯一需要更新的变量。因此，我们可以定义一个简单的模型`SynthesizedImage`，并将合成的图像视为模型参数。模型的前向传播只需返回模型参数即可。\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "origin_pos": 35,
    "tab": [
     "pytorch"
    ]
   },
   "outputs": [],
   "source": [
    "class SynthesizedImage(nn.Module):#此类保存变量，更方便调用pytorch的接口\n",
    "    def __init__(self, img_shape, **kwargs):\n",
    "        super(SynthesizedImage, self).__init__(**kwargs)\n",
    "        self.weight = nn.Parameter(torch.rand(*img_shape))\n",
    "\n",
    "    def forward(self):#前向传播不会被调用\n",
    "        return self.weight"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "origin_pos": 36
   },
   "source": [
    "下面，我们定义`get_inits`函数。该函数创建了合成图像的模型实例，并将其初始化为图像`X`。风格图像在各个风格层的格拉姆矩阵`styles_Y_gram`将在训练前预先计算好。\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "origin_pos": 38,
    "tab": [
     "pytorch"
    ]
   },
   "outputs": [],
   "source": [
    "def get_inits(X, device, lr, styles_Y):\n",
    "    gen_img = SynthesizedImage(X.shape).to(device)\n",
    "    gen_img.weight.data.copy_(X.data)\n",
    "    trainer = torch.optim.Adam(gen_img.parameters(), lr=lr)\n",
    "    styles_Y_gram = [gram(Y) for Y in styles_Y]\n",
    "    return gen_img(), styles_Y_gram, trainer"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "origin_pos": 39
   },
   "source": [
    "## [**训练模型**]\n",
    "\n",
    "在训练模型进行风格迁移时，我们不断抽取合成图像的内容特征和风格特征，然后计算损失函数。下面定义了训练循环。\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "origin_pos": 41,
    "tab": [
     "pytorch"
    ]
   },
   "outputs": [],
   "source": [
    "def train(X, contents_Y, styles_Y, device, lr, num_epochs, lr_decay_epoch):\n",
    "    X, styles_Y_gram, trainer = get_inits(X, device, lr, styles_Y)\n",
    "    scheduler = torch.optim.lr_scheduler.StepLR(trainer, lr_decay_epoch, 0.8)#使用学习率衰减\n",
    "    animator = d2l.Animator(xlabel='epoch', ylabel='loss',\n",
    "                            xlim=[10, num_epochs],\n",
    "                            legend=['content', 'style', 'TV'],\n",
    "                            ncols=2, figsize=(7, 2.5))#ncols=2代表共有两列图片，左侧为损失图，右侧为当前合成结果\n",
    "    for epoch in range(num_epochs):\n",
    "        trainer.zero_grad()\n",
    "        contents_Y_hat, styles_Y_hat = extract_features(\n",
    "            X, content_layers, style_layers)\n",
    "        contents_l, styles_l, tv_l, l = compute_loss(\n",
    "            X, contents_Y_hat, styles_Y_hat, contents_Y, styles_Y_gram)\n",
    "        l.backward()\n",
    "        trainer.step()\n",
    "        scheduler.step()\n",
    "        if (epoch + 1) % 10 == 0:\n",
    "            animator.axes[1].imshow(postprocess(X))\n",
    "            animator.add(epoch + 1, [float(sum(contents_l)),\n",
    "                                     float(sum(styles_l)), float(tv_l)])\n",
    "    return X"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "origin_pos": 42
   },
   "source": [
    "现在我们[**训练模型**]：\n",
    "首先将内容图像和风格图像的高和宽分别调整为300和450像素，用内容图像来初始化合成图像。\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "origin_pos": 44,
    "tab": [
     "pytorch"
    ]
   },
   "outputs": [
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       "   </g>\n",
       "   <g clip-path=\"url(#p8da46a898a)\">\n",
       "    <image height=\"119\" id=\"image1a1d77bc4c\" transform=\"scale(1 -1)translate(0 -119)\" width=\"178\" x=\"247\" xlink:href=\"data:image/png;base64,\n",
       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      ],
      "text/plain": [
       "<Figure size 504x180 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "device, image_shape = d2l.try_gpu(), (300, 450)\n",
    "net = net.to(device)\n",
    "content_X, contents_Y = get_contents(image_shape, device)#content_x即内容图片进行变换后的结果，用于初始化图片\n",
    "_, styles_Y = get_styles(image_shape, device)\n",
    "output = train(content_X, contents_Y, styles_Y, device, 0.3, 500, 50)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "origin_pos": 45
   },
   "source": [
    "我们可以看到，合成图像保留了内容图像的风景和物体，并同时迁移了风格图像的色彩。例如，合成图像具有与风格图像中一样的色彩块，其中一些甚至具有画笔笔触的细微纹理。\n",
    "\n",
    "## 小结\n",
    "\n",
    "* 风格迁移常用的损失函数由3部分组成：（i）内容损失使合成图像与内容图像在内容特征上接近；（ii）风格损失令合成图像与风格图像在风格特征上接近；（iii）全变分损失则有助于减少合成图像中的噪点。\n",
    "* 我们可以通过预训练的卷积神经网络来抽取图像的特征，并通过最小化损失函数来不断更新合成图像来作为模型参数。\n",
    "* 我们使用格拉姆矩阵表达风格层输出的风格。\n",
    "\n",
    "## 练习\n",
    "\n",
    "1. 选择不同的内容和风格层，输出有什么变化？\n",
    "1. 调整损失函数中的权重超参数。输出是否保留更多内容或减少更多噪点？\n",
    "1. 替换实验中的内容图像和风格图像，你能创作出更有趣的合成图像吗？\n",
    "1. 我们可以对文本使用风格迁移吗？提示:你可以参阅调查报告 :cite:`Hu.Lee.Aggarwal.2020`。\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "origin_pos": 47,
    "tab": [
     "pytorch"
    ]
   },
   "source": [
    "[Discussions](https://discuss.d2l.ai/t/3300)\n"
   ]
  }
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